2 citations · 5 across the 9 of their papers we have counts for
10 papers
RETHINED: A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting On Edge Devices
Marcelo Sanchez, Gil Triginer, Ignacio Sarasua +2
Existing image inpainting methods have shown impressive completion results for low-resolution images. However, most of these algorithms fail at high resolutions and require powerfu…
SGSST: Scaling Gaussian Splatting StyleTransfer
Bruno Galerne, Jianling Wang, Lara Raad +1
Applying style transfer to a full 3D environment is a challenging task that has seen many developments since the advent of neural rendering. 3D Gaussian splatting (3DGS) has recent…
Adapting MIMO video restoration networks to low latency constraints
Valéry Dewil, Zhe Zheng, Arnaud Barral +7
MIMO (multiple input, multiple output) approaches are a recent trend in neural network architectures for video restoration problems, where each network evaluation produces multiple…
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution
Ngoc Long Nguyen, Jérémy Anger, Lara Raad +2
In this work, we study the problem of single-image super-resolution (SISR) of Sentinel-2 imagery. We show that thanks to its unique sensor specification, namely the inter-band shif…
Scaling Painting Style Transfer
Bruno Galerne, Lara Raad, José Lezama +1
Neural style transfer (NST) is a deep learning technique that produces an unprecedentedly rich style transfer from a style image to a content image. It is particularly impressive w…
Photorealistic Facial Wrinkles Removal
Marcelo Sanchez, Gil Triginer, Coloma Ballester +2
Editing and retouching facial attributes is a complex task that usually requires human artists to obtain photo-realistic results. Its applications are numerous and can be found in…
Analysis of Different Losses for Deep Learning Image Colorization
Coloma Ballester, Aurélie Bugeau, Hernan Carrillo +4
Image colorization aims to add color information to a grayscale image in a realistic way. Recent methods mostly rely on deep learning strategies. While learning to automatically co…
Influence of Color Spaces for Deep Learning Image Colorization
Coloma Ballester, Aurélie Bugeau, Hernan Carrillo +4
Colorization is a process that converts a grayscale image into a color one that looks as natural as possible. Over the years this task has received a lot of attention. Existing col…
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
Patricia Vitoria, Lara Raad, Coloma Ballester
The colorization of grayscale images is an ill-posed problem, with multiple correct solutions. In this paper, we propose an adversarial learning colorization approach coupled with…
A survey of exemplar-based texture synthesis
Lara Raad, Axel Davy, Agnès Desolneux +1
Exemplar-based texture synthesis is the process of generating, from an input sample, new texture images of arbitrary size and which are perceptually equivalent to the sample. The t…